JAVA代码实现ElasticSearch搜索（入门

2024-07-04 12:35| 来源: 网络整理| 查看: 265

一、搜索方法对比

首先存入一条数据count=" i like eating and kuing" 默认分词器应该将内容分为 “i” “like” “eating” “and” “kuing”

1.QueryBuilders.matchQuery("count",count);

会将搜索词分词，再与目标查询字段进行匹配，若分词中的任意一个词与目标字段匹配上，则可查询到。

count= "i" 可查出 count= "i li" 可查出 count= "i like" 可查出 count= "i like eat" 可查出 count= "and" 可查出 count= "kuing" 可查出 count= "ku" 查不出 count= "li" 查不出 count= "eat" 查不出

2.QueryBuilders.matchPhraseQuery("count",count)

默认使用 match_phrase 时会精确匹配查询的短语，需要全部单词和顺序要完全一样，标点符号除外。(一般用于内容模糊查询)

count= "i" 可查出 count= "i li" 查不出 count= "i like" 可查出 count= "i like eat" 查不出 count= "and" 可查出 count= "kuing" 可查出 count= "ku" 查不出 count= "li" 查不出 count= "eat" 查不出

3.QueryBuilders.matchPhrasePrefixQuery("count",count)

count= "i" 可查出 count= "i li" 可查出 count= "i like" 可查出 count= "i like eat" 可查出 count= "and" 可查出 count= "kuing" 可查出 ****count= "ku" 可查出*** **count= "li" 可查出 count= "eat" 可查出***

4.QueryBuilders.termQuery("count",count)

term query,输入的查询内容是什么，就会按照什么去查询，并不会解析查询内容，对它分词。（一般用于关键字精确查询）

count= "i" 可查出 count = "i li" 查不出 count= "i like" 查不出 count= "i like eat" 查不出 count= "and" 可查出 count= "kuing" 可查出 ****count= "ku" 查不出*** **count= "li" 查不出 count= "eat" 查不出*** 二、多字段搜索

1.BoolQueryBuilder

BoolQueryBuilder qb = QueryBuilders.boolQuery(); 1，qb.must(QueryBuilder queryBuilder); // 相当于and 2，qb.mustNot(QueryBuilder queryBuilder) // 相当于 and != 3，qb.should(QueryBuilder queryBuilder)) // 相当于 or 4，qb.filter(QueryBuilder queryBuilder)) // 返回的文档必须满足filter子句的条件,但是不会像must一样,参与计算分值

2.示例代码

//1.声明搜索客户端 SearchRequest searchRequest = new SearchRequest(); //2.设置索引库的名称 searchRequest.indices("qfedu-course"); //3.声明搜索资源对象,声明搜索的规则对象 SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder(); //4设置搜索规则 //4.1QueryBuilders.matchAllQuery() 查询全部数据 searchSourceBuilder .query(QueryBuilders.matchAllQuery()); //4.2 QueryBuilders.termQuery ：对搜索关键字不分词进行查询精准查询 searchSourceBuilder.query(QueryBuilders.termQuery("name","张三")); //4.2.1 termsQuery：精准查询，一次匹配多个数据 searchSourceBuilder.query(QueryBuilders.termsQuery("id","25","24")); //4.3 QueryBuilders.matchQuery(). 关键字分词进行查询 searchSourceBuilder.query(QueryBuilders.matchQuery("courseName","分布式课程入门").operator(Operator.AND)); //4.3.1 QueryBuilders.multiMatchQuery() 关键字匹配多个字段，可以给某一个字段设置权重，提升的倍数。 searchSourceBuilder.query(QueryBuilders.multiMatchQuery("分布式OK", "courseName", "courseDescription").field("courseName", 10)); //4.4 时间范围搜索 .from(起始时间).to(结束时间) searchSourceBuilder.query(QueryBuilders.must(QueryBuilders.rangeQuery("commentTime").from("2022-01-02 13:11:00").to("2022-01-02 14:11:00"))); //4.5 QueryBuilders.rangeQuery 范围查询 gte 大于等于 lte 小于等于 searchSourceBuilder.query(QueryBuilders.rangeQuery("pay").gte(1000).lte(2000)); //5.设置分页 searchSourceBuilder.size(realTimeInformationReq.getSize()); searchSourceBuilder.from((realTimeInformationReq.getPage() - 1) * realTimeInformationReq.getSize()); //6.将搜索资源对象设置到搜索客户端中 searchRequest.source(searchSourceBuilder); //7.进行搜索 SearchResponse search = client.search(searchRequest, RequestOptions.DEFAULT); //8.解析搜索返回值 SearchHit[] hits = search.getHits().getHits(); //9.查询的总数 long count = search.getHits().getTotalHits().value; //10.解析返回值 List list = new ArrayList(); for (SearchHit his : hits1) { Map sourceAsMap = his.getSourceAsMap(); list.add(sourceAsMap); } 三、高亮展示

1.工具类

public static String setHighLight(String keywords, String info) { if (StringUtils.isBlank(keywords)||StringUtils.isBlank(info)) { return info; } String[] keywordArray = keywords.split(" "); String newInfo = info; for (String keyword : keywordArray) { newInfo = newInfo.replace(keyword, "" + keyword + ""); } return newInfo; }

2.高亮展示

for (TopicAnalysisMsg topicAnalysisMsg :list){ //参数一：需要高亮展示的关键字；参数二：需要高亮展示的字段 topicAnalysisMsg.setTitle(DisplayUtil.setHighLight(topicAnalysisMsg.getKeyword(),topicAnalysisMsg.getTitle())); topicAnalysisMsg.setAbstracts(DisplayUtil.setHighLight(topicAnalysisMsg.getKeyword(),topicAnalysisMsg.getAbstracts())); topicAnalysisMsg.setContent(DisplayUtil.setHighLight(topicAnalysisMsg.getKeyword(),topicAnalysisMsg.getContent())); }

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